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Architecture & Design

Mini-talks: The Machine Intelligence Landscape: A Venture Capital Perspective by David Beyer. The future of global, trustless transactions on the largest graph: blockchain by Olaf Carlson-Wee. Algorithms for Anti-Money Laundering by Richard Minerich.

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Process & Practices

In-App Subscriptions Made Easy

There are various types of subscriptions: recurring, non-recurring, free-trial periods, various billing cycles and any possible billing variation one can imagine. But with lack of information online, you might discover that mobile subscriptions behave differently from what you expected. This article will make your life somewhat easier when addressing an in-app subscriptions implementation.

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Operations & Infrastructure

Mini-talks: The Machine Intelligence Landscape: A Venture Capital Perspective by David Beyer. The future of global, trustless transactions on the largest graph: blockchain by Olaf Carlson-Wee. Algorithms for Anti-Money Laundering by Richard Minerich.

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Enterprise Architecture

Mini-talks: The Machine Intelligence Landscape: A Venture Capital Perspective by David Beyer. The future of global, trustless transactions on the largest graph: blockchain by Olaf Carlson-Wee. Algorithms for Anti-Money Laundering by Richard Minerich.

Agile For Embedded Systems

As agile continues "crossing the chasm" into the mainstream of the software development industry, there are always more and more types of software projects which at first glance may appear agile may not be a good fit for. In reality though this is likely more a function of difficulty finding documented expert quidance to assist these projects than it is a true mismatch between agile and the project.

Some might say that one such discipline is that of software development for hardware and embedded systems. Mark Levison has taken some time to assemble a helpful reference of information about people's experience applying agile to embedded software development projects.

Applying agile to embedded software projects may seem to present some unique challenges, for example:

More difficulty effectively testing evolving software features, as the corresponding hardware may not be readily available

Less freedom to change your mind, being the corresponding hardware change may come with an unacceptably high cost

Similarly, less ability to leverage "learn as you go" techniques, considering the hardware construction may demand a more upfront style of planning and design

To help people overcome these and other perceived obstacles, Levison has assembled the following list of people and organizations contributing knowledge in this space:

In addition, Mark has included a few excerpts from discussions by people presenting experiences with doing agile for embedded software. Among these excerpts is some advice from James Grenning highlighting the importance of developing and testing your software independently from the actual hardware its intended to support, and also then guidance with how to effectively approach integration with the device.

Mark also includes in these excerpts stories from Johanna Rothman, Robin Dymond, Jeanne Petrangelo, and John Baker discussing other approaches to effectively developing and testing your embedded application in an iterative, evolutionary manner.

Take some time to check out Mark's post, particularly if you're doing agile for embedded software development. If you've got your own stories, add them - there are more people out there just like you who would benefit from your knowledge; share to help them, and help agile!